Yanan Gu

437 citations
27 papers · 320 · h-index 12

Impact in

    • Cancer, Lipids, and Metabolism
    • Cancer-related molecular mechanisms research
    • Hippo pathway signaling and YAP/TAZ
    • Aldose Reductase and Taurine

Papers in

Yanan Gu

26 papers receiving 316 citations

Peers

Yanan Gu
Comparison fields: 5 of 68
  • Cancer Research 79
  • Cell Biology 57
  • Pulmonary and Respiratory Medicine 76
  • Molecular Biology 165
  • Oncology 56
Replace Veronica Henderson with:
Veronica Henderson United States
Tatsuhiko Shigeto Japan
Fumihiro Ishikawa Japan
Young Mi Kim South Korea
Tetsuya Kajimoto Japan
Kefeng Lei China
Cristiano Ramos Portugal
Yifang Zhu China
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Citations per field
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Citations per year

Countries citing papers authored by Yanan Gu

Since Specialization
Citations

This map shows the geographic impact of Yanan Gu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yanan Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanan Gu more than expected).

Fields of papers citing papers by Yanan Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yanan Gu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yanan Gu. The network helps show where Yanan Gu may publish in the future.

Co-authors

The 25 scholars most cited alongside Yanan Gu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yanan Gu Line = papers co-authored together Yanan Gu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201842
2 202431
3 202025
4 201522
5 201821
6 201820
7 201619
8 201715
9 201615
10 202114
11 202512
12 202211
13
A Novel NHERF1 Mutation in Human Breast Cancer Inactivates Inhibition by NHERF1 Protein in EGFR Signaling.
201611
14 201810
15 20168
16 20168
17 20177
18 20226
19 20236
20 20205

About Yanan Gu

Yanan Gu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cell Biology, Oncology and Cancer Research, having authored 27 papers that have together received 320 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (3 papers), Cancer, Lipids, and Metabolism (3 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Bladder and Urothelial Cancer Treatments (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Ferroptosis and cancer prognosis (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Aldose Reductase and Taurine (2 papers). The work is most often cited by research in Cancer Research (79 citations), Cell Biology (57 citations), Pulmonary and Respiratory Medicine (76 citations), Molecular Biology (165 citations) and Oncology (56 citations). Yanan Gu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Kaijie Wu, Shiqi Wu, Xinyang Wang, Shan Cheng, Dalin He, Wen G. Jiang, Ke Hui, Chengcheng Hao, Yangyang Yue and Jer‐Tsong Hsieh. Their work appears in journals such as Cell Death and Disease, Cellular Signalling, International Journal of Oncology, Oncotarget and Urologic Oncology Seminars and Original Investigations.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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